Jihong Ouyang - RankMe

95 papers A* 14A 7B 1C 1Misc 2Journal 62Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Correlation Matters in Deep Clustering: Transforming Clustering Into Self-Supervised Multi-Label Learning. IEEE Trans. Big Data Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Bo Fu, Wenting Wang
2026	J	`jnl`	Domain adaptive mixture-of-experts for cross-domain fake news detection. Knowl. Based Syst. Zeqi Guo, Jihong Ouyang, Ximing Li, Changchun Li
2026	J	`jnl`	Effective Fault Identification Approach for Model-Based Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. Jihong Ouyang, Sen Huang, Jinjin Chi, Liming Zhang, Xiangfu Zhao
2026	J	`jnl`	MBP: Rethinking class-imbalanced semi-supervised learning from the multi-binary perspective. Neurocomputing Chentao Ye, Qingyi Meng, Jihong Ouyang
2026	J	`jnl`	Semi-Supervised Learning with Balanced Deep Representation Distributions. CoRR Changchun Li, Ximing Li, Bingjie Zhang, Wenting Wang, Jihong Ouyang
2025	J	`jnl`	Closed loop networks for open-set semi-supervised learning. Inf. Sci. Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Changchun Li, Wenting Wang
2025	J	`jnl`	DVRE: dominator-based variables reduction of encoding for model-based diagnosis. Frontiers Comput. Sci. Jihong Ouyang, Sen Huang, Jinjin Chi, Liming Zhang
2025	J	`jnl`	Model-based diagnosis with low-cost fault identification. Frontiers Comput. Sci. Jihong Ouyang, Sen Huang, Liming Zhang, Xiangfu Zhao
2025	J	`jnl`	Structure-Based Uncertainty Estimation for Source-Free Active Domain Adaptation. IET Comput. Vis. Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Jinjin Chi
2025	J	`jnl`	Task-oriented Multi-domain Adversarial Network for fake news detection. Appl. Soft Comput. Zeqi Guo, Jihong Ouyang, Ximing Li, Changchun Li
2024	J	`jnl`	Adaptive prototype and consistency alignment for semi-supervised domain adaptation. Multim. Tools Appl. Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Dang Ngoc Hoang Thanh
2024	J	`jnl`	Applying Kumaraswamy distribution on stick-breaking process: a Dirichlet neural topic model approach. Neural Comput. Appl. Jihong Ouyang, Teng Wang, Jingyue Cao, Yiming Wang
2024	A*	`conf`	Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. AAAI Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li
2024	J	`jnl`	Aspect-based sentiment classification with aspect-specific hypergraph attention networks. Expert Syst. Appl. Jihong Ouyang, Chang Xuan, Bing Wang, Zhiyao Yang
2024	J	`jnl`	Exploiting multi-level consistency learning for source-free domain adaptation. Multim. Syst. Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi
2024	A*	`conf`	Generalized Variational Inference via Optimal Transport. AAAI Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei
2024	J	`jnl`	LaRW: boosting open-set semi-supervised learning with label-guided re-weighting. Multim. Tools Appl. Jihong Ouyang, Dong Mao, Qingyi Meng
2024	A*	`conf`	Positive and Unlabeled Learning with Controlled Probability Boundary Fence. ICML Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang
2024	A*	`conf`	WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. IJCAI Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang
2024	J	`jnl`	What makes sentiment signals work? Sentiment and stance multi-task learning for fake news detection. Knowl. Based Syst. Siqi Jiang, Zeqi Guo, Jihong Ouyang
2023	J	`jnl`	Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. CoRR Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li
2023	J	`jnl`	Contrastive self-supervised learning for diabetic retinopathy early detection. Medical Biol. Eng. Comput. Jihong Ouyang, Dong Mao, Zeqi Guo, Siguang Liu, Dong Xu, Wenting Wang
2023	J	`jnl`	Deep transition network with gating mechanism for multivariate time series forecasting. Appl. Intell. Yimeng Wang, Shi Feng, Bing Wang, Jihong Ouyang
2023	J	`jnl`	Few-Shot Directed Meta-Learning for Image Classification. Int. J. Pattern Recognit. Artif. Intell. Jihong Ouyang, Ganghai Duan, Siguang Liu
2023	J	`jnl`	LEA U-Net: a U-Net-based deep learning framework with local feature enhancement and attention for retinal vessel segmentation. Complex Intell. Syst. Jihong Ouyang, Siguang Liu, Hao Peng, Harish Garg, Dang N. H. Thanh
2023	A*	`conf`	Learning with Partial Labels from Semi-supervised Perspective. AAAI Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang
2023	J	`jnl`	Pseudo dense counterfactual augmentation for aspect-based sentiment analysis. Neurocomputing Jihong Ouyang, Shi Feng, Bing Wang, Zhiyao Yang
2023	J	`jnl`	S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. Knowl. Based Syst. Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang
2023	J	`jnl`	Supervised contrastive learning with corrected labels for noisy label learning. Appl. Intell. Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li
2023	A	`conf`	Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. CIKM Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li
2023	A*	`conf`	Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. AAAI Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan
2023	J	`jnl`	Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Comput. Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh
2022	J	`jnl`	Approximate continuous optimal transport with copulas. Int. J. Intell. Syst. Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang
2022	J	`jnl`	Approximate posterior inference for Bayesian models: black-box expectation propagation. Knowl. Inf. Syst. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2022	J	`jnl`	Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation. Knowl. Based Syst. Shi Feng, Bing Wang, Zhiyao Yang, Jihong Ouyang
2022	J	`jnl`	Extracting nonlinear neural topics with neural variational bayes. World Wide Web Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang
2022	J	`jnl`	Fast copula variational inference. J. Exp. Theor. Artif. Intell. Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li
2022	J	`jnl`	Learning with Partial Labels from Semi-supervised Perspective. CoRR Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang
2022	A*	`conf`	Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. IJCAI Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li
2022	A*	`conf`	Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. ICLR Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang
2021	A	`conf`	Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. CIKM Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang
2021	—	`conf`	Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts. EMNLP (Findings) Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang
2021	A*	`conf`	Layer-Assisted Neural Topic Modeling over Document Networks. IJCAI Yiming Wang, Ximing Li, Jihong Ouyang
2021	—	`conf`	Semi-Supervised Text Classification with Balanced Deep Representation Distributions. ACL/IJCNLP (1) Changchun Li, Ximing Li, Jihong Ouyang
2021	J	`jnl`	Topic extraction from extremely short texts with variational manifold regularization. Mach. Learn. Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang
2021	J	`jnl`	Variational Wasserstein Barycenters with c-Cyclical Monotonicity. CoRR Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li
2021	J	`jnl`	Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. CoRR Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang
2020	A	`conf`	Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. CIKM Changchun Li, Ximing Li, Jihong Ouyang
2020	A*	`conf`	Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. ICDM Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang
2019	J	`jnl`	A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization. J. Medical Imaging Health Informatics Xinhua Wang, Jihong Ouyang, Yungang Zhu, Haibo Yu, Helong Li
2019	A*	`conf`	Approximate Optimal Transport for Continuous Densities with Copulas. IJCAI Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang
2019	A*	`conf`	Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. WWW Changchun Li, Jihong Ouyang, Ximing Li
2019	J	`jnl`	Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking. CoRR Yan Niu, Jihong Ouyang
2019	A*	`conf`	Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI Ximing Li, Jiaojiao Zhang, Jihong Ouyang
2019	J	`jnl`	Low Cost Edge Sensing for High Quality Demosaicking. IEEE Trans. Image Process. Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang
2019	J	`jnl`	Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings. Comput. J. Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang
2019	J	`jnl`	Topic representation: Finding more representative words in topic models. Pattern Recognit. Lett. Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang
2018	J	`jnl`	A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation. Intell. Data Anal. Xiaotang Zhou, Jihong Ouyang, Ximing Li
2018	A	`conf`	Black-box Expectation Propagation for Bayesian Models. SDM Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang
2018	A	`conf`	Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li
2018	J	`jnl`	Empirical study on variational inference methods for topic models. J. Exp. Theor. Artif. Intell. Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li
2018	J	`jnl`	Exploring coherent topics by topic modeling with term weighting. Inf. Process. Manag. Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai
2018	J	`jnl`	Filtering out the noise in short text topic modeling. Inf. Sci. Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang
2018	J	`jnl`	Low Cost Edge Sensing for High Quality Demosaicking. CoRR Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang
2018	J	`jnl`	Short text topic modeling by exploring original documents. Knowl. Inf. Syst. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2018	J	`jnl`	Supervised topic models with weighted words: multi-label document classification. Frontiers Inf. Technol. Electron. Eng. Yue-peng Zou, Jihong Ouyang, Ximing Li
2018	J	`jnl`	Topic representation: finding more representative words in topic models. CoRR Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang
2018	J	`jnl`	Two time-efficient gibbs sampling inference algorithms for biterm topic model. Appl. Intell. Xiaotang Zhou, Jihong Ouyang, Ximing Li
2018	A*	`conf`	Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. IJCAI Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2016	J	`jnl`	A kernel-based centroid classifier using hypothesis margin. J. Exp. Theor. Artif. Intell. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	J	`jnl`	A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy. Int. J. Syst. Sci. Chao Ma, Jihong Ouyang, Hui-Ling Chen, Jinchao Ji
2016	J	`jnl`	Boosting scene understanding by hierarchical pachinko allocation. Multim. Tools Appl. Jihong Ouyang, Ximing Li, Hongtu Li
2016	B	`conf`	Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. COLING Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu
2016	J	`jnl`	Labelset topic model for multi-label document classification. J. Intell. Inf. Syst. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	A	`conf`	Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. SDM Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	J	`jnl`	Tuning the Learning Rate for Stochastic Variational Inference. J. Comput. Sci. Technol. Ximing Li, Jihong Ouyang
2015	J	`jnl`	A survey of qualitative spatial representations. Knowl. Eng. Rev. Juan Chen, Anthony G. Cohn, Dayou Liu, Sheng-Sheng Wang, Jihong Ouyang, Qiangyuan Yu
2015	J	`jnl`	Centroid prior topic model for multi-label classification. Pattern Recognit. Lett. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2015	J	`jnl`	Group topic model: organizing topics into groups. Inf. Retr. J. Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian
2015	—	`conf`	Simplifying Calculation of Graph Similarity Through Matrices. CCTA (2) Xu Wang, Jihong Ouyang, Guifen Chen
2015	J	`jnl`	Supervised labeled latent Dirichlet allocation for document categorization. Appl. Intell. Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu
2015	J	`jnl`	Supervised topic models for multi-label classification. Neurocomputing Ximing Li, Jihong Ouyang, Xiaotang Zhou
2015	J	`jnl`	Topic modeling for large-scale text data. Frontiers Inf. Technol. Electron. Eng. Ximing Li, Jihong Ouyang, You Lu
2014	—	`conf`	Adaptive Centroid-Based Clustering Algorithm for Text Document Data. PAAP Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu
2014	J	`jnl`	An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach. Comput. Math. Methods Medicine Chao Ma, Jihong Ouyang, Hui-Ling Chen, Xuehua Zhao
2014	—	`conf`	Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems. SPAC Chao Ma, Jihong Ouyang, Jian Guan
2014	A	`conf`	Momentum Online LDA for Large-scale Datasets. ECAI Jihong Ouyang, You Lu, Ximing Li
2013	J	`jnl`	Curve length estimation based on cubic spline interpolation in gray-scale images. J. Zhejiang Univ. Sci. C Zhenxin Wang, Jihong Ouyang
2012	J	`jnl`	A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine. J. Medical Syst. Li-Na Li, Jihong Ouyang, Hui-Ling Chen, Dayou Liu
2012	—	`conf`	Representation for topological relations of four simple regions. FSKD Jian Li, Jihong Ouyang, Zhenxin Wang
2011	C	`conf`	A Heuristic Genetic Process Mining Algorithm. CIS Jiafei Li, Jihong Ouyang, Mingyong Feng
2011	—	`conf`	A new hybrid collective classification method based on random walk and link pattern. CCIS Li-Na Li, Jihong Ouyang, Dayou Liu, Hong Qi, Huiling Chen
2011	—	`conf`	A new model for topological relations between convex regions. FSKD Jihong Ouyang, Ke Ma, Ling Ma
2011	Misc	`conf`	Finding similar and discriminative parts of deformable shape classes. ICNC Zhenxin Wang, Jihong Ouyang, Zeyang Liu, Xueyan Li
2007	Misc	`conf`	A Model for Representing Topological Relations Between Simple Concave Regions. International Conference on Computational Science (1) Jihong Ouyang, Qian Fu, Dayou Liu